Dataiku DSS Description
Data analysts, engineers, scientists, and other scientists can be brought together. Automate self-service analytics and machine learning operations. Get results today, build for tomorrow. Dataiku DSS is a collaborative data science platform that allows data scientists, engineers, and data analysts to create, prototype, build, then deliver their data products more efficiently. Use notebooks (Python, R, Spark, Scala, Hive, etc.) You can also use a drag-and-drop visual interface or Python, R, Spark, Scala, Hive notebooks at every step of the predictive dataflow prototyping procedure - from wrangling to analysis and modeling. Visually profile the data at each stage of the analysis. Interactively explore your data and chart it using 25+ built in charts. Use 80+ built-in functions to prepare, enrich, blend, clean, and clean your data. Make use of Machine Learning technologies such as Scikit-Learn (MLlib), TensorFlow and Keras. In a visual UI. You can build and optimize models in Python or R, and integrate any external library of ML through code APIs.
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Data Analysis Software
Machine Learning Software
Artificial Intelligence Software
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Dataiku DSS User Reviews
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Dataiku - Review Date: Jun 17 2020
Summary: I have recently started using Dataiku for data science projects, the tool is very good. Supports a lot of data sources, and various programming languages. I have used the inbuilt jupyter notes in Dataiku. You can set optimizations as per requirement like you can optimize F1 score or recall or AUC which is a very interesting feature and can be put to great use.
On an overall level, it is a very good tool for data science projects.Positive: (+) Integration with various data sources like snowflake, s3, and many other platforms.
(+) You can code in various languages like python, R, SQL.
(+) Easy to use and adapt and has a very neat interface.
(+) You can create a flowchart of your entire project in a pictorial representation.
(+) Multiple collaborators can work at a time on a single project.Negative: (-) Limited representation (Visualization) capabilities.
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(-) Its inability to compile the entire code into one document.
(-) Reloading of code is an issue (UI Problem).
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